25 Experts have compiled this list of Best Python for Machine Learning Course, Tutorial, Training, Class, and Certification available online for 2020. It includes both paid and free resources to help you learn Python for Machine Learning and these courses are suitable for beginners, intermediate learners as well as experts.
If you are interested in getting started with the field…Continue
Added by Digital Defynd on January 3, 2020 at 9:30pm — No Comments
This article is on the blog artificialintelligenceml.
This article features the following applications, one of them is pictured above (recommendation engine).
Added by Andrea Manero-Bastin on January 3, 2020 at 7:30am — No Comments
Data scientists are disappearing. No, not in the physical sense (no rapture here), but in the job market. The term “data science” has been a catch-all term for years, but as companies better learn what goes into hiring data science teams, the generic “data science” job titles might go the way of the dodo.
Not that we’re sad about it. Confusing job postings and a misunderstanding of the fundamentals of working in data science has led to disillusionment on both sides.…Continue
Added by ODSC on January 3, 2020 at 7:00am — No Comments
This article was written by Jeffry Thurana.
Anybody who has tried Google Photos would agree that this free photo storage and management service from Google is smart. It packs in various smart features like advanced search, ability to categorize your pictures by locations and dates, automatically create albums and videos based on similarities, and walk you down the memory…Continue
Added by Andrea Manero-Bastin on January 3, 2020 at 7:00am — No Comments
Bayesian inference is the re-allocation of credibilities over possibilities [Krutschke 2015]. This means that a bayesian statistician has an “a priori” opinion regarding the probabilities of an event:
By observing new data x, the statistician will adjust his opinions to get the "a posteriori" probabilities.
The conditional probability of an event d given x is the share of the joint…Continue
Added by Frank Raulf on January 3, 2020 at 4:30am — No Comments
DigitalOps has been one of the emergent topics in 2019 (link) and will still be on the “hype curve” designed by Gartner for the next years, now in 2020 the buzz word is…Continue
As you might realize by now, writing SQL queries is one of the essential skills any inspiring data analyst needs to master. After all, larger datasets are typically stored in relational databases and Structured Query Language is the language that helps us communicate with such databases. Sure, NoSQL is gaining…Continue
Added by Alex Blyakhman on January 2, 2020 at 8:00pm — No Comments
Here is our selection of featured articles and technical contributions published since Monday:
Added by Vincent Granville on January 2, 2020 at 11:30am — No Comments
2019 was a year full of outstanding customer engagements and provocative teaching experiences across numerous universities. My eyes were opened to many new opportunities to integrate economics, design thinking, big data and data science (AI / ML / DL) to further my case for a Nobel Prize in Economics (which I’d prefer not to be awarded posthumously). That includes helping organizations:
Added by Bill Schmarzo on January 2, 2020 at 5:30am — No Comments
The recent release of BERT is one of the most pioneering innovations in the field of NLP, which is considered a way ahead of all other traditional NLP models.
Let’s find out what is BERT and how will it transform NLP.
What is BERT?
BERT (Bidirectional Encoder Representations…Continue
Added by Rahul Dharia on January 2, 2020 at 4:11am — No Comments
As anyone involved in the developing world would tell you, the app’s UI is one of its most critical elements, if not the most important. After all, the design is one of the first things that any user sees and if that isn’t appealing, easy, and convenient, there should be no wonder about the app’s inability to garner better customers. Thankfully, most folks seem to understand this now and yet find themselves struggling with a critical question in their pursuit of good design: Which framework…Continue
Added by Ryan Williamson on January 2, 2020 at 1:13am — No Comments
This article was written by Pranjal Srivastava.
Sequence prediction problems have been around for a long time. They are considered as one of the hardest problems to solve in the data science industry. These include a wide range of problems; from predicting sales to finding patterns in stock markets’ data, from understanding movie plots to recognizing your…Continue
Added by Andrea Manero-Bastin on January 1, 2020 at 4:30am — No Comments